Provide plentiful information for user to make informed decisions about travel plans
Visualizing world tourism using bed space density (bed spaces / land area) can provide insights into how suitable a country is for travel.
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This data shows us how well-suited countries are for inbound tourism based upon bed space. "Bed places" are another term for lodging, including hotels, hostels, BnBs, etc... While there was limited United Nations data availabe for bed spaces, we can see from the plot above that more affluent countries are more likely to have greater density of bed space. Plots further down on this page display correlations with inbound and outbound tourism.
Comparing the cost of business start-up to the domestic tourism industry can provide insights into how easily residents of a country can build tourism-related businesses.
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Comparing outgoing and incoming tourism to air transit passenger capacity can provide insights into how much plane travel affects tourism rates of countries.
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Visualizing ingoing tourism using the Gender Development Index can provide insights into how willing people are to visit a country depending on the country's gender equality.
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Visualizing incoming tourism using AIDS-related deaths can provide insights into how much the AIDS epidemic deters tourists from visiting countries.
There was limited United Nations Data on AIDS-related deaths globally, so only a minority of countries are taken into account with this data, as shown on the choropleth maps below.
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Visualizing outgoing tourism using the Human Development Index can provide insights into how countries with different levels of development are able to support their citizens traveling internationally.
Human Development Index data was only available for the year 2021, so there is no interactivity with a years slider on this data. Additionally, there was limited data available from the United Nations for Outbound Tourism in 2021. All available international data is shown on the graphs below.
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